Higher-order cyclic cumulants for high order modulation classification

Authors:
Octavia A. Dobre;Yeheskel Bar-Ness;Wei Su
Affiliations:
New Jersey Institute of Technology, Newark, NJ;New Jersey Institute of Technology, Newark, NJ;HQ US Army CECOM, Fort Monmouth, NJ
Venue:
MILCOM'03 Proceedings of the 2003 IEEE conference on Military communications - Volume I
Year:
2003

Citing 3
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Abstract

In this paper we investigate automatic modulation classification (AMC) using homogeneous feature-vectors based on cyclic cumulants (CCs) of fourth-, sixth- and eight-orders, respectively, for QAM, PSK and ASK signals within a pattern recognition framework. Analysis of CCs of the baseband signal at the receiver is performed and used for feature selection. The cycle spectrum of the baseband signal at the receiver is derived as a function of excess bandwidth for a raised cosine pulse shape and a necessary and sufficient condition on the oversampling factor is obtained. Theoretical arguments regarding the discrimination capability of the examined feature-vectors are verified through extensive simulations.